TM1 Neuerungen und Roadmap
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1 TM1 Neuerungen und Roadmap April, 2016 Christian Wagner & Hubert Heijkers Dusseldorf, April 27 th 2016
2 Please Note: IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user s job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
3 TM1 Deployment Optionen Software as a Service (SaaS) Neuentwicklungen erst in der Cloud als SaaS verfügbar Planning Analytics als Dachbegriff, TM1 als Technologiebegriff Sichere Anbindung an andere Systeme On Premise inklusive Hosting Komponenten der SaaS Lösung On Premise 6 bis 12 Monate später TM1 (10.3?)
4 Neue Generation von Benutzeroberflächen Perspectives/Architekt TM1Web Andere Datenmodellierung Präsentationsschicht Predictive Optimierung TM1 Server Planung & Simulation & Analyse Integrationsschicht (Lesen, Schreiben, In Memory, Echtzeit) RDBMS SAP ECC/BW BLU/HANA
5 Neue Generation von Benutzeroberflächen CAFE Planning Analytics Workspace Andere Datenmodellierung Präsentationsschicht Predictive Optimierung TM1 Server Planung & Simulation & Analyse Integrationsschicht (Lesen, Schreiben, In Memory, Echtzeit) RDBMS SAP ECC/BW BLU/HANA
6 Neue Generation von Benutzeroberflächen Perspectives CAFE CAFE wird Perspectives ablösen Bestehende Excel-Oberfläche für Cognos BI Separater Bereich für TM1 Effiziente Anbindung durch das REST API Perspectivierung von CAFE Seit 2 Jahren mit limitierter Funktionalität verfügbar Neu Klassischer Schnitt Publizieren ins Web Active Forms Action Buttons
7 DEMO
8 Neue Generation von Benutzeroberflächen TM1Web Planning Analytics Workspace Neuer HTML5 Webclient Ein Webclient für TM1, Cognos BI, Watson Analytics Webbasierter Berichts-/Maskenbau durch Benutzer Zugriff auf mehrere TM1 Server Verbesserte Websheets, Cubeview, Navigationsobjekte, Bilder, Filme, Grafiken und mehr Hierarchien , PDF Suchfunktion Kurzbefehle Kollaboration, Workflow In der Cloud verfügbar, On Premise später
9 Neue Generation von Benutzeroberflächen Performance Modeler & Server Explorer Neues Modellierungswerkzeug Webbasiert Wird derzeit entwickelt
10 Planning Analytics Workspace Business Led Design Web based, Easy, Intuitive Start a project Use templates to accelerate design Visual application and data model design Built-in planning & analytic intelligence
11 Planning Analytics Workspace Best in Breed Planning Easy, intuitive, graduated Rich interactive workspace Natural language discovery & manipulation Collaboration and Pin to share & reuse Organize into multitabbed workbooks Synchronize objects from any data source
12 Wichtige Termine Cognos Disclosure Management Anwendertag in Ehningen/Stuttgart am 15. Juni 2016 TM1 Anwendertag in Ehningen/Stuttgart am 16. Juni ibm.com/events/wwe/grp/grp102.nsf/v17_agenda?open form&seminar=adf89uoe&locale=de_de
13 Hierarchien Bisher in TM1 nur parallele Aggregationen Nur eine Aggregation pro Dimension Dimensionalität im Würfel höher als nötig Neu: Hierarchien wie eigene Dimensionenen Kieinere Würfel Variable Aufrisse Neue Anwendungsbereiche für TM1, wie z.b,. Kundensegmentierung
14 TM1 Server Road Map What s happening under the hood
15 Alternate Hierarchies Scenario Analysis What-If Organization Hierarchies Re-align Sales Territories Perform Variance Analysis across Structures Attribute Analysis Slice \ Dice \ Pivot on Dimension Attributes Product Customer Crosstab Multiple Attributes from same Dimension Cube Design Optimization Analyze Hierarchies as Virtual Dimensions Analyze new Attributes On the Fly
16 Alternate Hierarchies Hierarchies as Virtual Dimensions in Planning Analytics Workspace Model H3 Time H1 Time H2 Model H1 Model H2
17 Rule Profiling Do you know if your query is slow because the rules are doing heavy lifting? What rule is the slowest? Fastest? Do they execute the same speed all the time?
18 Locking and contention improvement We re sneaky FP4 Transient Subsets & Views No registration, only exists during the execution of the process No need to clean it up, it self destructs Simple implementation Viewcreate( mycube, my_new_view, 1); Cube to cube transfers with no fear of locking your server while building the subsets or views. Free flowing intraday data transfers Save code because it doesn t need to be destroyed
19 Locking and contention improvement Parallel updates of control dimensions Doesn t sound exciting does it Creating multiple dimension/cubes at the same time Getting warmer? Update dimensions/cubes with concurrent processes at the same time Hitting the mark?
20 Locking and contention improvement Getting sick of this yet? it locks New version it does not. Open and work with views when running dim updates. Having fun now?
21 MTF Multi-threading feeders No that s not a new swear word Apply the MTQ framework functionality to feeder creation Triggered based on CubeProcessFeeders() TI function or by changing feeder definitions of cube rules
22 Sparse Calcs Lets eliminate the need for feeders altogether Feeder-less rule computation over sparse data driven solely by the rule definition feeder markers are not required Faster batch computation of rule results (as in stargate vs. per cell calculations) incremental result set cache Single Rule and MDX engine Potential to harmonize Rule and MDX syntax MDX in rules: e.g. extensive relative time functions Rules in MDX: e.g. excel like experience
23 What can live be like without feeders? Freeing up RAM used for feeder values If the feeder doesn t exist, nor does the memory address it uses Real time modelling Model changes don t require lengthy feeder updates Simpler Modeling Experience No need for feeder section in rules Less model errors Feeder definitions are error prone Faster cell updates No need to trigger feeder value updates Faster server load times No need to load/generate feeders This is just a few of the benefits
24 Questions? Think of any more questions later? Don t hesitate to contact us!
25 Notices and Disclaimers Copyright 2016 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM. U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM. Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. THIS DOCUMENT IS DISTRIBUTED "AS IS" WITHOUT ANY WARRANTY, EITHER EXPRESS OR IMPLIED. IN NO EVENT SHALL IBM BE LIABLE FOR ANY DAMAGE ARISING FROM THE USE OF THIS INFORMATION, INCLUDING BUT NOT LIMITED TO, LOSS OF DATA, BUSINESS INTERRUPTION, LOSS OF PROFIT OR LOSS OF OPPORTUNITY. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided. Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice. Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary. References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business. Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation. It is the customer s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law.
26 Notices and Disclaimers (con t) Information concerning non-ibm products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-ibm products. Questions on the capabilities of non-ibm products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM s products. IBM EXPRESSLY DISCLAIMS ALL WARRANTIES, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right. IBM, the IBM logo, ibm.com, Aspera, Bluemix, Blueworks Live, CICS, Clearcase, Cognos, DOORS, Emptoris, Enterprise Document Management System, FASP, FileNet, Global Business Services, Global Technology Services, IBM ExperienceOne, IBM SmartCloud, IBM Social Business, Information on Demand, ILOG, Maximo, MQIntegrator, MQSeries, Netcool, OMEGAMON, OpenPower, PureAnalytics, PureApplication, purecluster, PureCoverage, PureData, PureExperience, PureFlex, purequery, purescale, PureSystems, QRadar, Rational, Rhapsody, Smarter Commerce, SoDA, SPSS, Sterling Commerce, StoredIQ, Tealeaf, Tivoli, Trusteer, Unica, urban{code}, Watson, WebSphere, Worklight, X-Force and System z Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at:
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